Optimizing SONAR System Reliability Through RRAP: A Novel Approach Using Opposition Based Levy Flight Moth Flame Optimization

Reliability-redundancy allocation problem (RRAP) is a complex problem in the reliability optimization area which aims to find the best structure with the highest reliability through simultaneous determination of the reliability of components and the redundancy level for each subsystem. Maximizing the system reliability becomes a major concern in case of the critical systems. This study for the first time implements the RRAP for reliability optimization of Sound Navigation and Ranging (SONAR) systems as they are critical in various applications, including underwater navigation and object detection. The objective is to optimize the design of SONAR systems, aiming to achieve the highest possible system reliability while considering constraints such as cost, weight, and volume. To tackle this problem, a non-linear mixed integer programming model is formulated for SONAR, incorporating various redundancy levels to maximize overall system reliability. Also, the optimization process is carried out by developing the Opposition based Levy Flight Moth Flame Optimizer (OBLVMFO), for maximization of system reliability. The outcomes for each redundancy level shows the effect of redundancy to each subsystem while the comparison among all the obtained outcomes explains the best system design with maximum reliability.